Why This Role Stands Out
This hybrid role at Smart Caliber Technology offers a fantastic opportunity to shape the future of AI by specializing in LLM platforms, perfect for experienced AI professionals seeking impactful work. You'll leverage your 8-10 years of expertise in AI and data science to drive innovation within a dynamic tech environment. Apply now to contribute to cutting-edge AI advancements and grow your career.
Quick Overview
Job Description
Role: Prompt Engineer / AI Specialist / Tech Analyst – LLM & AI Platforms
Location: Alpharetta, GA (Hybrid)
Contract Role
Face to Face is a must
Experience
8–10 years of relevant experience across AI, data science, and application development
Role Overview
We are seeking a Senior Prompt Engineer / AI Specialist / Technical Analyst to support enterprise-scale Generative AI and LLM based solutions, including Service Assist AI and Agent Desktop aligned initiatives. This role focuses on prompt engineering, model integration, AI workflow design, and full stack enablement, working across multiple AI models and platforms including OpenAI and other enterprise LLM providers.
The ideal candidate must have data science and machine learning foundations with strong Python and full stack engineering skills with Angular, and can translate business problems into effective, secure, and scalable AI powered solutions.
Must Have
• 8–10 years of experience across AI, data science, machine learning, or full stack engineering roles.
• Strong hands on experience with LLMs and prompt engineering.
• Experience integrating OpenAI and other AI/LLM platforms via APIs.
• Strong proficiency in Python for AI workflows, services, and data processing.
• Solid understanding of data science and ML fundamentals (model evaluation, feature engineering, experimentation).
• Full stack exposure with Angular, HTML, CSS, and TypeScript.
• Core Banking or Financial/Wealth management domain working experience required
Good to Have
• Experience with Service Assist AI, conversational AI, or agent assist platforms.
• Exposure to embeddings, vector databases, or RAG architectures.
• Familiarity with AI governance, responsible AI frameworks, and risk controls.
• Cloud or AI platform certifications.
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